/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.spark.sql.oap.adapter

import org.apache.spark.memory.MemoryMode
import org.apache.spark.sql.execution.vectorized.{OapOnHeapColumnVector, OffHeapColumnVector, WritableColumnVector}
import org.apache.spark.sql.types.DataType

object ColumnVectorAdapter {
  /**
   * The Construction of ColumnVector has changed in the spark2.3 version.
   */
  def allocate(capacity: Int, dt: DataType, memMode: MemoryMode): WritableColumnVector = {
    if (memMode == MemoryMode.OFF_HEAP) {
      new OffHeapColumnVector(capacity, dt)
    } else {
      new OapOnHeapColumnVector(capacity, dt)
    }
  }

}
